{"id":"W6977041317","doi":"10.6068/dp14ba8dadf7596","title":"Trend 2006 - 2012. Statistics Canada. CANSIM: Children and Youth - Crime and Justice | Country: Canada | Table: Survey of Maintenance Enforcement Programs (SMEP), enrolled cases, by order authority, type of beneficiary and regular amount due in March | Variable: Greater than $0 to $100 due to beneficiary in March of the fiscal year, Total cases, order authority, Unknown beneficiary | Units: #, 2006-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-025.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beneficiary; Census; Economic Justice; Economic statistics; Law enforcement; Descriptive statistics; Official statistics; Criminal justice; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002514845,0.002603132,0.003061738,0.009055654,0.003597137,0.004574763,0.005820967,0.001477406,0.08976763],"category_scores_gemma":[0.02072533,0.002247578,0.002446642,0.0404426,0.0006556048,0.002598782,0.002497541,0.003273899,0.04373282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06405034,"about_ca_system_score_gemma":0.1657921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962237,"about_ca_topic_score_gemma":0.9949838,"domain_scores_codex":[0.9949837,0.0003234142,0.0006178191,0.0005762195,0.002360498,0.001138327],"domain_scores_gemma":[0.9570038,0.001323741,0.001380996,0.001045056,0.0369304,0.002316037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003036339,0.000009227798,0.001530755,0.0002622569,0.00002477351,0.00000590266,0.00002583953,0.00009177427,0.000008010355,0.0003063802,0.9961264,0.001578245],"study_design_scores_gemma":[0.0003054299,0.00002724586,0.05615943,0.001489021,0.0001308344,0.00004012448,0.0009061066,0.0006790205,0.0002473581,0.0007259721,0.9391584,0.0001310556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007774705,0.00004940461,0.00002328684,0.000146347,0.00003272011,0.0000247395,0.998633,0.00006068601,0.0009520441],"genre_scores_gemma":[0.001211939,0.0003669541,0.0004466061,0.0002263366,0.00002595429,0.0001974,0.9924213,0.0001184668,0.004984991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08976763,"threshold_uncertainty_score":0.4647199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075170964817924,"score_gpt":0.2652708264230487,"score_spread":0.2345191167748694,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}